"excel" matching MCP servers:

Enables local Excel workbooks to be read, modified, recalculated, and verified with screenshots through a single operation pipeline, automatically choosing openpyxl or Excel COM.

Enables reading and writing Excel workbooks (.xlsx) through MCP. Supports listing sheets, tables, pivot tables, reading cell data, exporting to CSV/text/Markdown, and creating/modifying Excel files.

Enables managing Excel files in Microsoft 365 (OneDrive/SharePoint) through Microsoft Graph API, including creating workbooks, adding worksheets, creating tables, and reading or adding table rows via MCP tools.

Enables AI clients to read, write, and manage Excel workbooks (.xlsx/.xlsm) directly via openpyxl, with comprehensive tools for data, formatting, formulas, charts, and more.

An MCP server for safe .xlsx inspection and controlled workbook writes, enabling spreadsheet reads, search, filtering, aggregation, and preview-based writes with workspace confinement and audit logging.

Enables AI agents to analyze Excel files through atomic operations like filtering, aggregation, and grouping without loading raw data into context.

Enables normalizing arbitrary Excel spreadsheets with varied headers into 19 canonical fields and clean JSON, with optional LLM disambiguation and offline fallback. Exposes MCP tools for use in Claude, Cursor, and Windsurf.

An MCP server that provides a semantic index and 14 bounded tools for AI agents to navigate Excel workbooks by symbols, references, and diagnostics, avoiding the need to read entire rows.

Enables querying Excel and CSV files using SQL via natural language, allowing AI assistants to analyze data without manual SQL writing.

Turn any Google Sheet into a CRM (leads, organizations, contacts, activities) from MCP clients. Stateless FastMCP server - HTTP or stdio.

An MCP server that allows LLMs to read, analyze, and interact with Excel files through file operations, data discovery, and comprehensive analysis tools.

Provides Excel file manipulation capabilities without requiring Microsoft Excel installation, enabling workbook creation, data manipulation, formatting, and advanced Excel features.

Enables users to create, inspect, analyze, format, and chart Excel workbooks by having the client LLM write Python that runs in a fresh, network-restricted Docker container. Exposes a single execute_python tool with access to openpyxl, pandas, numpy, and matplotlib, persisting files between calls.

Enables AI agents to read Excel files with full content extraction, including embedded images, cell data, formulas, and merged cells, returning multimodal content for vision-capable models.

Generates formatted Excel (.xlsx) files from user requests and deposits them into Cleyrop project data.

Enables AI assistants to perform comprehensive Microsoft Excel operations including data analysis, cell editing, advanced formatting, and VBA execution on Windows systems. It provides a structured workflow for managing workbooks and worksheets through a dedicated Model Context Protocol interface.

Enables MCP agents to read messy lab and instrument spreadsheet exports by detecting headers, cleaning table bounds, parsing decimal commas, preserving LOD/LOQ qualifiers, and returning JSON rows with column metadata.

Attaches to already-open Excel workbooks on Windows via COM to enable live editing of cells, ranges, formatting, and comments, without launching or closing Excel itself.

Enables Claude to open, filter, search, summarize, and write local .xlsx, .xlsm, .xls, and .csv spreadsheets through ten tools, all running locally with no Microsoft Office installed. Access is sandboxed to folders you allow, with an optional read-only mode and an audit log of every file operation.

Live Excel MCP server for macOS that interacts with running Excel instances in real time via AppleScript, enabling instant read/write, formula support, and VBA macro execution.

MCP server for reading and inspecting local Excel files (.xlsx, .xlsm, .xls, .xlsb, .ods) with tools for inspecting metadata, reading ranges, and profiling structure.

Enables AI assistants to perform Excel file operations (create, read, write, format) without requiring Microsoft Excel installation.

An MCP server that provides comprehensive Excel file operations, data analysis, and visualization capabilities for working with various spreadsheet formats like XLSX, CSV, and JSON.

Enables LLMs to work with Excel and CSV files through structured tools for workbook operations, formatting, charts, ETL, analysis, and more.

Provides Excel file manipulation capabilities. This server enables workbook creation, data manipulation, formatting, and advanced Excel features.

A Model Context Protocol (MCP) server that provides tools for reading Excel (xlsx) files, enabling extraction of data from entire workbooks or specific sheets with results returned in structured JSON format.

Enables AI models to search, read, and analyze Excel files from your local file system with support for multiple worksheets, text search, and JSON data conversion.

Enables AI assistants to automate Microsoft Excel tasks such as reading/writing cells, formatting, creating charts, and managing sheets through natural language using the Model Context Protocol.

An MCP server for reading, writing, and analyzing Excel files using Python, pandas, and openpyxl. It enables tasks such as managing multiple worksheets, performing structural data analysis, and creating new files from JSON data.

Enables AI assistants to create, read, write, and manipulate Excel files (.xlsx, .xlsm) without requiring Microsoft Excel, including support for charts, pivot tables, data import/export, and professional formatting across Windows, macOS, and Linux.

Enables AI agents to read, write, analyze, and transform Excel spreadsheets (.xlsx) through the Model Context Protocol.

Local MCP server that connects Claude to real Excel .xlsx files for financial and operational analysis. Enables reading, comparing, cleaning, reconciling, and writing to Excel files without cloud dependency.

Enables AI agents to read real Excel files with messy layouts, auto-detecting header rows and handling merged cells to extract clean tabular data via MCP tools.

Enables AI assistants to read WeCom online spreadsheets (read-only) from a shared link, listing worksheets and data ranges, reading text, formatting, and cell images, and searching sheet contents using each caller's own login cookie.

Enables AI assistants to perform Excel file operations such as reading, writing, formatting, and chart creation through the Model Context Protocol.

Parses WeChat order messages, merges follow-up updates, and writes structured orders into a OneDrive Excel workbook through Microsoft Graph.

A Model Context Protocol (MCP) server that lets you manipulate Excel files without needing Microsoft Excel installed. Create, read, and modify Excel workbooks with your AI agent.

Enables game designers to manipulate Excel files using natural language or SQL, supporting cross-sheet operations, batch modifications, and game configuration management.

A Model Context Protocol server that enables AI agents to create, read, and modify Excel workbooks without requiring Microsoft Excel installation.

Enables AI clients to create, read, and edit Excel workbooks without Microsoft Excel, including charts, PivotTables, formulas, tables, formatting, and large-file operations. It also provides safe folder confinement, read-only operation, and optional VBA-write tools.